21 citations · 90 across the 17 of their papers we have counts for
7 papers · 2 filters
MRTNet: Multi-Resolution Temporal Network for Video Sentence Grounding
Wei Ji, Long Chen, Yinwei Wei +2
Given an untrimmed video and natural language query, video sentence grounding aims to localize the target temporal moment in the video. Existing methods mainly tackle this task by…
Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization
Yiyang Chen, Zhedong Zheng, Wei Ji +2
We investigate composed image retrieval with text feedback. Users gradually look for the target of interest by moving from coarse to fine-grained feedback. However, existing method…
Invariant Grounding for Video Question Answering
Yicong Li, Xiang Wang, Junbin Xiao +2
Video Question Answering (VideoQA) is the task of answering questions about a video. At its core is understanding the alignments between visual scenes in video and linguistic seman…
PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models
Yuan Yao, Qianyu Chen, Ao Zhang +4
Vision-language pre-training (VLP) has shown impressive performance on a wide range of cross-modal tasks, where VLP models without reliance on object detectors are becoming the mai…
3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective
Zhedong Zheng, Jiayin Zhu, Wei Ji +2
This research aims to study a self-supervised 3D clothing reconstruction method, which recovers the geometry shape and texture of human clothing from a single image. Compared with…
Fine-Grained Scene Graph Generation with Data Transfer
Ao Zhang, Yuan Yao, Qianyu Chen +4
Scene graph generation (SGG) is designed to extract (subject, predicate, object) triplets in images. Recent works have made a steady progress on SGG, and provide useful tools for h…
Video Question Answering: Datasets, Algorithms and Challenges
Yaoyao Zhong, Junbin Xiao, Wei Ji +3
Video Question Answering (VideoQA) aims to answer natural language questions according to the given videos. It has earned increasing attention with recent research trends in joint…